def readParameters(self, rootFile): # Read inverted parameters ff = nf(rootFile+'.parameters', 'r') pars = ff.variables['map'][:] ff.close() # Read errors ff = nf(rootFile+'.errors', 'r') errors = ff.variables['map'][:] ff.close() return pars, errors
def readParameters(self, rootFile):
# Read inverted parameters
ff = nf(rootFile + '.parameters', 'r')
pars = ff.variables['map'][:]
ff.close()
# Read errors
ff = nf(rootFile + '.errors', 'r')
errors = ff.variables['map'][:]
ff.close()
return pars, errors
def write(self, filename):
nc_fid = nf(filename, 'w')
# Create dims
nc_fid.createDimension('x', self.nx)
nc_fid.createDimension('y', self.ny)
nc_fid.createDimension('stokes', self.ns)
nc_fid.createDimension('wav', self.nw)
nc_fid.createDimension('time')
if (self.dat.dtype == 'float64'): prec = 'f8'
else: prec = 'f4'
prof = nc_fid.createVariable('profiles', prec,
('time', 'y', 'x', 'wav', 'stokes'))
wav = nc_fid.createVariable('wav', 'f8', ('wav'))
wei = nc_fid.createVariable('weights', 'f4', ('wav', 'stokes'))
pwe = nc_fid.createVariable('pixel_weights', 'f4', ('time', 'y', 'x'))
print("profile::write: saving data [{0}]".format(filename))
# Write data
for ii in range(self.nt):
prof[ii, :, :, :, :] = self.dat[ii, :, :, :, :]
pwe[ii] = self.pweights[ii, :, :]
wav[:] = self.wav
wei[:] = self.weights
nc_fid.close()
def _getContent(self, file, verb=False):
inam = "model::_getContent: "
nc_fid = nf(file, 'r')
nc_dims = [dim for dim in nc_fid.dimensions]
nc_vars = np.asarray([var for var in nc_fid.variables])
if (verb):
dstr = ''
dvar = ' '
ivar = ''
ii = 0
for dim in nc_dims:
dstr += str(dim) + '={0} '.format(len(nc_fid.dimensions[dim]))
print(inam + 'Dimensions:')
print(' ' + dstr)
print(' ')
print(inam + 'Variables:')
for var in nc_vars:
ivar = ' '
tmp = nc_fid.variables[var].dimensions
for d in tmp:
ivar += str(d) + ' '
print(' [{0}] '.format(ii) + '{:>10}'.format(var) + ' [' +
ivar + ']')
ii += 1
print(" ")
nc_fid.close()
return (nc_dims, nc_vars)
def readProfiles(self, rootFile): # Read inverted profiles ff = nf(rootFile+'.inversion', 'r') synthProf = ff.variables['map'][:] ff.close() return synthProf
def _getContent(self, filename):
nc_fid = nf(filename, 'r')
nc_dims = [dim for dim in nc_fid.dimensions]
nc_vars = np.asarray([var for var in nc_fid.variables])
nc_fid.close()
return (nc_dims, nc_vars)
def readProfiles(self, rootFile):
# Read inverted profiles
ff = nf(rootFile + '.inversion', 'r')
synthProf = ff.variables['map'][:]
ff.close()
return synthProf
def readObservations(self, rootFile): # Read inverted profiles ff = nf(rootFile+'.nc', 'r') sizeMask = ff.variables['mask'].shape sizeMap = ff.variables['map'].shape obsProf = ff.variables['map'][:].reshape((sizeMask[0],sizeMask[1],sizeMap[-2],sizeMap[-1])) ff.close() return obsProf
def _readVar1(self, file, vname, x0, x1, y0, y1, t0, t1):
nc_fid = nf(file, 'r')
nc_vars = np.asarray([var for var in nc_fid.variables])
inam = "model::_readVar1: "
dum = np.where(nc_vars == vname)
res = None
if (len(dum[0]) == 1):
res = nc_fid.variables[vname][t0:t1, y0:y1, x0:x1, :]
nc_fid.close()
return (res)
def readObservations(self, rootFile):
# Read inverted profiles
ff = nf(rootFile + '.nc', 'r')
sizeMask = ff.variables['mask'].shape
sizeMap = ff.variables['map'].shape
obsProf = ff.variables['map'][:].reshape(
(sizeMask[0], sizeMask[1], sizeMap[-2], sizeMap[-1]))
ff.close()
return obsProf
def writeInstProf(oname, var, pref=[]):
ncfile1 = nf(oname, 'w', format='NETCDF4')
ncfile1.createDimension('wav', var.size)
par1 = ncfile1.createVariable('iprof', 'f8', ('wav'))
par1[:] = var
if (len(pref) == 3):
ncfile1.createDimension('np', len(pref))
par2 = ncfile1.createVariable('pref', 'f8', ('np'))
par2[:] = np.float32(pref)
ncfile1.close()
def _getDimensions(self, file, atype=0):
nc_fid = nf(file, 'r')
if (atype == 0):
return (0, 0, 0, 0)
elif (atype == 1 or atype == 2):
nx = len(nc_fid.dimensions['x'])
ny = len(nc_fid.dimensions['y'])
ndep = len(nc_fid.dimensions['ndep'])
nt = len(nc_fid.dimensions['time'])
nc_fid.close()
return (nx, ny, ndep, nt)
def _getType(self, file):
nc_fid = nf(file, 'r')
inam = "model::getType: "
nc_dims = [dim for dim in nc_fid.dimensions]
nc_vars = np.asarray([var for var in nc_fid.variables])
nc_fid.close()
dum = np.where(nc_vars == 'temp')
if (len(dum[0]) == 1):
return 1
dum = np.where(nc_vars == 'model')
if (len(dum[0]) == 1):
return 2
return 0
def read(self, filename):
# Get content of file
nc_dims, nc_vars = self._getContent(filename)
nc_fid = nf(filename, 'r')
# Set dims
nx = 0
ny = 0
nw = 0
ns = 0
nt = 0
for ii in nc_dims:
if (ii == 'x'): nx = len(nc_fid.dimensions['x'])
elif (ii == 'y'): ny = len(nc_fid.dimensions['y'])
elif (ii == 'wav'): nw = len(nc_fid.dimensions['wav'])
elif (ii == 'stokes'): ns = len(nc_fid.dimensions['stokes'])
elif (ii == 'time'): nt = len(nc_fid.dimensions['time'])
elif (ii == 'vtype'): self.nder = len(nc_fid.dimensions['vtype'])
self.setsize(nx, ny, nw, ns, nt)
read = ""
print(nc_vars)
# Readvars
if (len(np.where(nc_vars == 'profiles')[0]) == 1):
self.dat[:, :, :, :, :] = nc_fid.variables['profiles'][:]
read += "[profiles]"
if (len(np.where(nc_vars == 'wav')[0]) == 1):
self.wav[:] = nc_fid.variables['wav'][:]
read += "[wav]"
if (len(np.where(nc_vars == 'weights')[0]) == 1):
self.weights[:, :] = nc_fid.variables['weights'][:]
read += "[weights]"
if (len(np.where(nc_vars == 'pixel_weights')[0]) == 1):
self.pweights[:, :, :] = nc_fid.variables['pixel_weights'][:]
read += "[pixel_weights]"
if (len(np.where(nc_vars == 'derivatives')[0]) == 1):
self.rf = nc_fid.variables['derivatives'][:]
read += '[derivatives]'
if (len(np.where(nc_vars == 'derivatives')[0]) == 1):
self.rf_type = np.int32(nc_fid.variables['vidx'][:])
read += '[vidx]'
print("profile::read: " + read)
nc_fid.close()
def write(self, filename, write_all=True, t0 = 0, \
t1 = -1, x0=0, x1=-1, y0=0, y1=-1, z0 = 0, z1 = -1):
ncfile = nf(filename, 'w', format='NETCDF4', clobber=True)
# Check ranges
if (t1 == -1): t1 = self.nt
if (t1 > self.nt): t1 = self.nt
if (x1 == -1): x1 = self.nx
if (y1 == -1): y1 = self.ny
if (x1 > self.nx): x1 = self.nx
if (y1 > self.ny): y1 = self.ny
if (z1 == -1): z1 = self.ndep
if (z1 > self.ndep): z1 = self.ndep
nx = x1 - x0
ny = y1 - y0
nz = z1 - z0
nt = t1 - t0
print("model::write: {4} -> nx={0}, ny={1}, ndep={2}, nt={3}".\
format(nx, ny, nz, nt, filename))
sys.stdout.flush()
# Create dimensions
ncfile.createDimension('y', ny)
ncfile.createDimension('x', nx)
ncfile.createDimension('ndep', nz)
ncfile.createDimension('time')
# Create vars and write
par0 = ncfile.createVariable('ltau500', 'f4',
('time', 'y', 'x', 'ndep'))
par1 = ncfile.createVariable('z', 'f4', ('time', 'y', 'x', 'ndep'))
par2 = ncfile.createVariable('temp', 'f4', ('time', 'y', 'x', 'ndep'))
par3 = ncfile.createVariable('pgas', 'f4', ('time', 'y', 'x', 'ndep'))
par4 = ncfile.createVariable('vlos', 'f4', ('time', 'y', 'x', 'ndep'))
par5 = ncfile.createVariable('blong', 'f4', ('time', 'y', 'x', 'ndep'))
par6 = ncfile.createVariable('bhor', 'f4', ('time', 'y', 'x', 'ndep'))
par7 = ncfile.createVariable('azi', 'f4', ('time', 'y', 'x', 'ndep'))
par8 = ncfile.createVariable('vturb', 'f4', ('time', 'y', 'x', 'ndep'))
par9 = ncfile.createVariable('cmass', 'f4', ('time', 'y', 'x', 'ndep'))
if (write_all):
par10 = ncfile.createVariable('nne', 'f4',
('time', 'y', 'x', 'ndep'))
par11 = ncfile.createVariable('rho', 'f4',
('time', 'y', 'x', 'ndep'))
for tt in range(t0, t1):
par0[tt] = self.ltau[tt, y0:y1, x0:x1, z0:z1]
par1[tt] = self.z[tt, y0:y1, x0:x1, z0:z1]
par2[tt] = self.temp[tt, y0:y1, x0:x1, z0:z1]
par3[tt] = self.pgas[tt, y0:y1, x0:x1, z0:z1]
par4[tt] = self.vlos[tt, y0:y1, x0:x1, z0:z1]
par5[tt] = self.Bln[tt, y0:y1, x0:x1, z0:z1]
par6[tt] = self.Bho[tt, y0:y1, x0:x1, z0:z1]
par7[tt] = self.azi[tt, y0:y1, x0:x1, z0:z1]
par8[tt] = self.vturb[tt, y0:y1, x0:x1, z0:z1]
par9[tt] = self.cmass[tt, y0:y1, x0:x1, z0:z1]
if (write_all):
par10[tt] = self.nne[tt, y0:y1, x0:x1, z0:z1]
par11[tt] = self.rho[tt, y0:y1, x0:x1, z0:z1]
ncfile.close()
from netCDF4 import Dataset as nf
ff = nf('test.nc', 'r')
wave = ff.variables['lambda1']
res = ff.variables['stokes1'][:]